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Artificial Intelligence

Knowledge Management in Sensory and Consumer Research Frequently Experienced Problems and Solutions for Moving Forward in Small and Big Steps

In today’s fast-moving consumer goods (FMCG) market, knowledge management of sensory and consumer data is essential to keep up with the product development pace and thrive in the competitive market environment. In this talk, we will share our experience in knowledge management of sensory and consumer research, which we have been performing for the last 3-4 years for many of our clients, which are mostly fortune 500 companies. We will introduce a knowledge management vision on how sensory and consumer data forms the link between the physical product properties and the market performance data. The value of knowledge management can be unlocked at two levels. The basic level would be to explore the existing knowledge and use the insights for shaping new research in the most effective way. The advanced level would be to implement tools for simulated experiments and virtual prototyping using combinations of data from different studies and predictive models. We will disclose the common issues and pitfalls in sensory and consumer knowledge management, and provide actionable recommendations that can be implemented immediately. As further food for thought, more complex challenges will be shared. When these challenges would be resolved, knowledge management can be utilized to its full potential. These challenges include the repeatability of sensory panel data in different studies and the robustness of consumer data in terms of individual scale use and cultural differences. We will discuss these challenges and provide ideas for possible solutions that would allow companies to make a step change in advancing their knowledge management capability. Speakers: Tian Yu, PhD, Vanessa Rios de Souza, PhD

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